AI and the World's Hard Problems · Earth & climate science · Caltech · 2026-10-15
Forecasting Tipping Points with AI
Tipping points, after which a system cannot return to its original state, are harder to predict than short-term weather changes. A Caltech-led team showed that a recurrent neural operator (RNO), a type of neural network, can predict when tipping points occur in simple models. These include a climate-change system model and simulations of turbulent airflow over a plane's wing. The paper was published in PNAS.